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AI Ethics Research Lead

NeuroEdge Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join NeuroEdge Dynamics at the forefront of ethical AI development as we shape responsible technology for 2026 and beyond. We seek an AI Ethics Research Lead to pioneer frameworks ensuring machine learning systems align with human values. This role bridges cutting-edge AI research with practical governance, influencing industry standards while working with Fortune 500 partners deploying next-generation autonomous systems. Our mission: democratize AI ethics without compromising innovation.

Located in San Francisco's tech corridor, NeuroEdge offers competitive benefits including equity, flexible hybrid work, and dedicated innovation time. You'll collaborate with MIT-affiliated researchers while shaping policies that will define the next decade of AI adoption.

Responsibilities

  • Design and implement ethical AI governance frameworks for autonomous systems
  • Lead cross-functional audits of machine learning algorithms for bias mitigation
  • Develop industry standards for explainable AI (XAI) in high-stakes domains
  • Partner with legal teams to ensure compliance with evolving AI regulations
  • Present research findings at global AI ethics summits and policy forums
  • Mentor junior researchers while publishing in top-tier AI ethics journals

Qualifications

  • PhD in Computer Science, Ethics, or related field with 5+ years AI research experience
  • Proven track record in publishing peer-reviewed papers on algorithmic fairness
  • Expertise in bias detection tools (e.g., AIF360, IBM AI Fairness 360)
  • Experience with regulatory frameworks (EU AI Act, NIST AI RMF)
  • Strong background in applied philosophy or technology ethics
  • Proficiency in Python and ML model development for ethical testing
  • Exceptional communication skills for technical and non-technical stakeholders

Required Skills

AI Ethics Machine Learning Algorithmic Fairness Explainable AI Regulatory Compliance Research Leadership Python Governance Frameworks

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